Distributed Kalman Filtering Over Sensor Networks With Unknown Random Link Failures

被引：33

作者：

Battilotti, Stefano ^{[1
]}

Cacace, Filippo ^{[2
]}

d'Angelo, Massimiliano ^{[1
]}

Germani, Alfredo ^{[3
]}

机构：

[1] Sapienza Univ Roma, DIAG, I-00186 Rome, Italy

[2] Univ Campus Biomed Roma, I-00144 Rome, Italy

[3] Univ Aquila, Dipartimento Ingn & Sci Informaz & Matemat, I-67100 Laquila, Italy

来源：

IEEE CONTROL SYSTEMS LETTERS | 2018年 / 2卷 / 04期

关键词：

Sensor networks; Kalman filtering; fault detection;

D O I：

10.1109/LCSYS.2018.2845304

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter we consider the distributed consensus-based filtering problem for linear time-invariant systems over sensor networks subject to random link failures when the failure sequence is not known at the receiving side. We assume that the information exchanged, traveling along the channel, is corrupted by a noise and hence, it is no more possible to discriminate with certainty if a link failure has occurred. Therefore, in order to process the only significant information, we endow each sensor with detectors which decide on the presence of link failures. At each sensor the proposed approach consists of three steps: 1) failure detection; 2) local data aggregation; and 3) Kalman consensus filtering. Numerical examples show the effectiveness of this method.

引用

页码：587 / 592

页数：6

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